Storage Engine

Diagram of an LSM‑tree with a Bloom filter overlay.

Optimizing Read Performance in LSM-Trees: Integrating Bloom Filters for Production-Grade Storage Engines

A deep dive into using Bloom filters to cut LSM‑tree read amplification, with real‑world architecture diagrams, Go implementation, and ops tips.

Diagram of a B-Tree with a node being split.

Why B-Tree Node Splitting Causes Unexpected Tail Latency

B‑Tree node splits can trigger rare but costly latency spikes; this post explains why they happen and how to mitigate tail latency in modern storage engines.

Diagram comparing LSM tree layers with B‑tree nodes.

Why Log-Structured Merge Trees Outperform B-Trees for Write Throughput

Explore how LSM trees boost write performance compared to B‑trees, the mechanics behind their design, and the trade‑offs involved.

Illustration of a layered LSM tree architecture with merging components.

Implementing Log-Structured Merge Trees for High‑Throughput Write‑Intensive Distributed Databases

A deep dive into LSM trees for distributed databases, explaining their write path, compaction mechanics, and practical deployment patterns.

Illustration of an LSM tree merging into a distributed vector database.

Implementing Log-Structured Merge Trees for High-Throughput Write Operations in Distributed Vector Databases

Learn how LSM trees can be integrated into distributed vector databases to achieve massive write throughput, with practical guidance on compaction strategies and consistency handling.